//@ts-nocheck
import React, { useEffect, useImperativeHandle } from 'react'

import * as echarts from 'echarts/lib/echarts'
import 'echarts/lib/component/tooltip'
import 'echarts/lib/component/grid'
import 'echarts/lib/chart/heatmap'
import 'echarts/lib/component/visualMap'
import { Option, ChartsInstance } from '../Bar/interface'

import './index.less'

let echartsInstance: any
let data: Array<Option> = []

interface IProps {
  chartId?: string
  options?: Array<Option>
  chartRef?: React.MutableRefObject<ChartsInstance>
  seriesName?: string
  data?: any
}

const HotMap: React.FC<IProps> = ({ options, chartId, chartRef, seriesName = '' }) => {
  useEffect(() => {
    echartsInstance = echarts.init(document.getElementById(chartId || 'statistics-option-bar'))
    setOptions()
  }, [])

  useEffect(() => {
    // data = options
    if (echartsInstance) setOptions()
  }, [options])

  useImperativeHandle(chartRef, () => ({
    getInstance: () => {
      return echartsInstance
    }
  }))

  let xData = []
  let yData = []

  let noise = getNoiseHelper()
  noise.seed(Math.random())
  function generateData(theta, min, max) {
    let data = []
    for (let i = 0; i <= 200; i++) {
      for (let j = 0; j <= 100; j++) {
        // let x = (max - min) * i / 200 + min;
        // let y = (max - min) * j / 100 + min;
        data.push([i, j, noise.perlin2(i / 40, j / 20) + 0.5])
        // data.push([i, j, normalDist(theta, x) * normalDist(theta, y)]);
      }
      xData.push(i)
    }
    for (let j = 0; j < 100; j++) {
      yData.push(j)
    }
    return data
  }
  let data = generateData(2, -5, 5)
  function getNoiseHelper() {
    class Grad {
      constructor(x, y, z) {
        this.x = x
        this.y = y
        this.z = z
      }
      dot2(x, y) {
        return this.x * x + this.y * y
      }
      dot3(x, y, z) {
        return this.x * x + this.y * y + this.z * z
      }
    }
    const grad3 = [
      new Grad(1, 1, 0),
      new Grad(-1, 1, 0),
      new Grad(1, -1, 0),
      new Grad(-1, -1, 0),
      new Grad(1, 0, 1),
      new Grad(-1, 0, 1),
      new Grad(1, 0, -1),
      new Grad(-1, 0, -1),
      new Grad(0, 1, 1),
      new Grad(0, -1, 1),
      new Grad(0, 1, -1),
      new Grad(0, -1, -1)
    ]
    const p = [
      151, 160, 137, 91, 90, 15, 131, 13, 201, 95, 96, 53, 194, 233, 7, 225, 140, 36, 103, 30, 69,
      142, 8, 99, 37, 240, 21, 10, 23, 190, 6, 148, 247, 120, 234, 75, 0, 26, 197, 62, 94, 252, 219,
      203, 117, 35, 11, 32, 57, 177, 33, 88, 237, 149, 56, 87, 174, 20, 125, 136, 171, 168, 68, 175,
      74, 165, 71, 134, 139, 48, 27, 166, 77, 146, 158, 231, 83, 111, 229, 122, 60, 211, 133, 230,
      220, 105, 92, 41, 55, 46, 245, 40, 244, 102, 143, 54, 65, 25, 63, 161, 1, 216, 80, 73, 209,
      76, 132, 187, 208, 89, 18, 169, 200, 196, 135, 130, 116, 188, 159, 86, 164, 100, 109, 198,
      173, 186, 3, 64, 52, 217, 226, 250, 124, 123, 5, 202, 38, 147, 118, 126, 255, 82, 85, 212,
      207, 206, 59, 227, 47, 16, 58, 17, 182, 189, 28, 42, 223, 183, 170, 213, 119, 248, 152, 2, 44,
      154, 163, 70, 221, 153, 101, 155, 167, 43, 172, 9, 129, 22, 39, 253, 19, 98, 108, 110, 79,
      113, 224, 232, 178, 185, 112, 104, 218, 246, 97, 228, 251, 34, 242, 193, 238, 210, 144, 12,
      191, 179, 162, 241, 81, 51, 145, 235, 249, 14, 239, 107, 49, 192, 214, 31, 181, 199, 106, 157,
      184, 84, 204, 176, 115, 121, 50, 45, 127, 4, 150, 254, 138, 236, 205, 93, 222, 114, 67, 29,
      24, 72, 243, 141, 128, 195, 78, 66, 215, 61, 156, 180
    ]
    // To remove the need for index wrapping, double the permutation table length
    let perm = new Array(512)
    let gradP = new Array(512)
    // This isn't a very good seeding function, but it works ok. It supports 2^16
    // different seed values. Write something better if you need more seeds.
    function seed(seed) {
      if (seed > 0 && seed < 1) {
        // Scale the seed out
        seed *= 65536
      }
      seed = Math.floor(seed)
      if (seed < 256) {
        seed |= seed << 8
      }
      for (let i = 0; i < 256; i++) {
        let v
        if (i & 1) {
          v = p[i] ^ (seed & 255)
        } else {
          v = p[i] ^ ((seed >> 8) & 255)
        }
        perm[i] = perm[i + 256] = v
        gradP[i] = gradP[i + 256] = grad3[v % 12]
      }
    }
    seed(0)
    // ##### Perlin noise stuff
    function fade(t) {
      return t * t * t * (t * (t * 6 - 15) + 10)
    }
    function lerp(a, b, t) {
      return (1 - t) * a + t * b
    }
    // 2D Perlin Noise
    function perlin2(x, y) {
      // Find unit grid cell containing point
      let X = Math.floor(x)
      let Y = Math.floor(y)
      // Get relative xy coordinates of point within that cell
      x = x - X
      y = y - Y
      // Wrap the integer cells at 255 (smaller integer period can be introduced here)
      X = X & 255
      Y = Y & 255
      // Calculate noise contributions from each of the four corners
      let n00 = gradP[X + perm[Y]].dot2(x, y)
      let n01 = gradP[X + perm[Y + 1]].dot2(x, y - 1)
      let n10 = gradP[X + 1 + perm[Y]].dot2(x - 1, y)
      let n11 = gradP[X + 1 + perm[Y + 1]].dot2(x - 1, y - 1)
      // Compute the fade curve value for x
      let u = fade(x)
      // Interpolate the four results
      return lerp(lerp(n00, n10, u), lerp(n01, n11, u), fade(y))
    }
    return {
      seed,
      perlin2
    }
  }

  const setOptions = () => {
    echartsInstance.setOption({
      tooltip: {},
      xAxis: {
        type: 'category',
        data: xData
      },
      yAxis: {
        type: 'category',
        data: yData
      },
      visualMap: {
        min: 0,
        max: 1,
        calculable: true,
        realtime: false,
        inRange: {
          color: [
            'transparent',
            '#4575b4',
            '#74add1', //
            '#abd9e9', //
            '#e0f3f8', //
            '#ffffbf', //
            '#fee090', //
            '#fdae61', //
            '#f46d43', //
            '#d73027',
            '#a50026'
          ]
        }
      },
      series: [
        {
          name: 'Gaussian',
          type: 'heatmap',
          data: data,
          emphasis: {
            itemStyle: {
              borderColor: '#333',
              borderWidth: 1
            }
          },
          progressive: 1000,
          animation: false
        }
      ]
    })
  }

  return <div className="strip-hot-map-chart" id={chartId || 'statistics-option-bar'} />
}
export default (HotMap)
